stanford-futuredata/ColBERT

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

Retrieval and Retrieval-augmented LLMs

State-of-the-Art Embeddings, Retrieval, and Reranking

Search infrastructure for AI

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG